On Uncertainty Quantification for Near-Bayes Optimal Algorithms

On Uncertainty Quantification for Near-Bayes Optimal Algorithms

28 March 2024

Chris Holmes

Papers citing "On Uncertainty Quantification for Near-Bayes Optimal Algorithms"

4 / 4 papers shown

Title
Contraction rates for sparse variational approximations in Gaussian process regression D. Nieman Botond Szabó Harry Van Zanten 25 17 0 22 Sep 2021
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 84 576 0 13 Mar 2020
Why bigger is not always better: on finite and infinite neural networks Laurence Aitchison 173 51 0 17 Oct 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016